docs: def convert_dirs(base_dir, hdf_name, complib=None, complevel=0):
      """
      Convert nested set of directories to
  
      """
      print('Converting directories in {}'.format(base_dir))
  
      dirs = glob.glob(os.path.join(base_dir, '*'))
      dirs = {d for d in dirs if os.path.basename(d) in DIRECTORIES}
      if not dirs:
          raise RuntimeError('No direcotries found matching known data.')
  
      store = pd.HDFStore(
          hdf_name, mode='w', complevel=complevel, complib=complib)
  
      for dirpath in dirs:
          dirname = os.path.basename(dirpath)
  
          print(dirname)
          df = cache_to_df(dirpath)
  
          if dirname == 'travel_data':
              keys = ['from_zone_id', 'to_zone_id']
          elif dirname == 'annual_employment_control_totals':
              keys = ['sector_id', 'year', 'home_based_status']
          elif dirname == 'annual_job_relocation_rates':
              keys = ['sector_id']
          elif dirname == 'annual_household_control_totals':
              keys = ['year']
          elif dirname == 'annual_household_relocation_rates':
              keys = ['age_of_head_max', 'age_of_head_min',
                      'income_min', 'income_max']
          elif dirname == 'building_sqft_per_job':
              keys = ['zone_id', 'building_type_id']
          elif dirname == 'counties':
              keys = ['county_id']
          elif dirname == 'development_event_history':
              keys = ['building_id']
          elif dirname == 'target_vacancies':
              keys = ['building_type_id', 'year']
          else:
              keys = [dirname[:-1] + '_id']
  
          if dirname != 'annual_household_relocation_rates':
              df = df.set_index(keys)
  
          for colname in df.columns:
              if df[colname].dtype == np.float64:
                  df[colname] = df[colname].astype(np.float32)
              elif df[colname].dtype == np.int64:
                  df[colname] = df[colname].astype(np.int32)
              else:
                  df[colname] = df[colname]
  
          df.info()
          print(os.linesep)
          store.put(dirname, df)
  
      store.close()